Digital Agriculture: Current State, Problems and Prospects of Development

Batishcheva, Elena A.

doi:10.32651/191-2

Cited by 4 publications

(2 citation statements)

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“…The overwhelming majority of researchers refer to the process of transition of various-level economic systems to the digital economy model as a digital transformation that defines the goals and ideology of this transition, priority areas and objects of digitalization [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. But, as a rule, the emphasis is on digital transformation of business and relatively large business structures, while systemic problems of digital transformation of individual branches of the national economy remain beyond the scope of research.…”

Section: Research Resultsmentioning

confidence: 99%

The specifics of the digital transformation of agriculture

Zhukova¹,

Ulez’ko²

2019

Proceedings of the International Scientific and Practical Conference “Digital Agriculture - Development Strategy” (ISPC 2019)

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At the present stage of the formation of the theoretical and methodological basis of the digital economy, insufficient attention is paid to the issues of digitization of certain branches of national economy, including agriculture. The effectiveness of introducing digital technologies largely depends on the level of technological and information development of industries and fields of activity. Digital technologies themselves do not generate economic effect, they only allow to enhance it. And if the industry or field of activity has a low level of technical and technological development, their digital transformation will require, first of all, solving the problem of eliminating their technological backwardness. It should be accepted that a full-scale transition to the digital economy cannot be made in the near and even medium term. We need realistic understanding of the modern level of informatization of various aspects of public life, the quality of the existing scientific and technical groundwork, and practical significance of certain digital technologies for the social development. The principles of the formation of digital agriculture are demonstrated as components of the methodology. The range of basic information management tasks is substantiated without solving which the transfer of agriculture to digital technologies is impossible.

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Section: Research Resultsmentioning

confidence: 99%

The specifics of the digital transformation of agriculture

Zhukova¹,

Ulez’ko²

2019

Proceedings of the International Scientific and Practical Conference “Digital Agriculture - Development Strategy” (ISPC 2019)

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“…The digital economy, characterized by the integration of digital network applications and the merging of digital technology with traditional economic systems, has opened up possibilities for the advancement of digitalized agriculture [9][10][11]. The adoption of cutting-edge agricultural practices, driven by digital technologies, has emerged as a crucial pathway for initiating rural transformation [12]. Digital technologies encompass efforts to enhance resource allocation efficiency, promote innovation in agricultural production, and enhance agricultural productivity [10,13].…”

Section: Introductionmentioning

confidence: 99%

A Cross-Sectional Analysis of the Relationship between Digital Technology Use and Agricultural Productivity in EU Countries

Bocean

2024

Agriculture

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Amidst the rapid evolution of digital technologies and their prospective implications for agricultural productivity, farmers are increasingly turning to Agriculture 4.0. As digitization permeates every facet of agriculture, the potential for boosting productivity while ensuring sustainability and resilience becomes increasingly tangible. The objective of this study is to understand how the adoption of digital technologies influences agricultural productivity within the diverse socioeconomic and agricultural landscapes of EU nations. The research of this study aims to address questions concerning the impact of digital technology use on agricultural productivity across EU countries. This study employs a robust analytical framework combining equation modeling (SEM), artificial neural networks, and cluster analysis. SEM analysis reveals significant associations and influences between digital technology use and productivity related to the total labor force across EU countries. Moreover, cluster analysis outlines distinct clusters of EU member states distinguished by varying degrees of digital technology incorporation and corresponding agricultural productivity, emphasizing the diverse socioeconomic contexts that influence these associations. These findings underscore the significance of embracing digital technology as a catalyst for enhancing agricultural productivity across EU nations. Future research could focus on devising strategies to promote the widespread adoption of digital technologies in agriculture across EU member states, and longitudinal analyses could offer insights into the dynamic relationship between digital technology use and agricultural output, informing policy interventions.

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